{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T02:50:54Z","timestamp":1729651854436,"version":"3.28.0"},"reference-count":21,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015,7]]},"DOI":"10.1109\/icmlc.2015.7340660","type":"proceedings-article","created":{"date-parts":[[2015,12,3]],"date-time":"2015-12-03T16:13:38Z","timestamp":1449159218000},"page":"826-831","source":"Crossref","is-referenced-by-count":0,"title":["A new resampling method of imbalanced large data based on class boundary"],"prefix":"10.1109","author":[{"given":"Xing","family":"Sheng","sequence":"first","affiliation":[]},{"given":"Zhai","family":"Junhai","sequence":"additional","affiliation":[]},{"given":"Wang","family":"Xiaolan","sequence":"additional","affiliation":[]},{"given":"Yuan","family":"Ming","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2012.08.010"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.12785\/amis\/071L50"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2012.08.018"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1613\/jair.953","article-title":"SMOTE: Synthetic Minority Over-sampling Technique","volume":"16","author":"chawla","year":"2002","journal-title":"Journal of Artificial Intelligence Research"},{"key":"ref14","article-title":"C4.5, class imbalance, and cost sensitivity: why under-sampling beats over-sampling","author":"drummond","year":"2003","journal-title":"Workshop on Learning from Imbalanced Data Sets II International Conference on Machine Learning"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"769","DOI":"10.1109\/TSMC.1976.4309452","article-title":"Two modifications of CNN","volume":"6","author":"tomek","year":"1976","journal-title":"IEEE Trans on Systems Man and Communications"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1968.1054155"},{"key":"ref17","first-page":"179","article-title":"Addressing the course of imbalanced training sets: one-sided selection","author":"kubat","year":"1997","journal-title":"Proc of the 14th International Conference on Machine Learning San Francisco Morgan Kaufmann"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1613\/jair.953","article-title":"SMOTE: Synthetic Minority Over- Sampling Technique","volume":"16","author":"n v","year":"2002","journal-title":"Journal of Artificial Intelligence Research"},{"key":"ref19","first-page":"878","article-title":"Borderline-Smote: A new over-sampling method in imbalanced data sets learning","author":"han","year":"2005","journal-title":"International Conference on Intelligent Computing Springer Verlag"},{"key":"ref4","first-page":"69","article-title":"An approach to imbalanced data sets based on changing rule strengt","author":"grzymala-busse","year":"2000","journal-title":"Learning from Imbalanced Data Sets Papers from the AAAI Workshop"},{"key":"ref3","first-page":"109","article-title":"When small disjuncts abound, try lazy learning: A case study","author":"van","year":"1997","journal-title":"Proc Seventh Belgian-Dutch Conf Machine Learning"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007452223027"},{"key":"ref5","first-page":"359","article-title":"Learning to ‘predict rare events in event sequences","author":"weiss","year":"1998","journal-title":"Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/1007730.1007734"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2003.817864"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2007.02.001"},{"key":"ref1","first-page":"164","article-title":"Toward scalable learning with non-uniform class and cost distributions: a case study in credit card fraud detection","author":"chan","year":"2001","journal-title":"Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2008.239"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/1007730.1007735"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3724\/SP.J.1016.2012.00202"}],"event":{"name":"2015 International Conference on Machine Learning and Cybernetics (ICMLC)","start":{"date-parts":[[2015,7,12]]},"location":"Guangzhou, China","end":{"date-parts":[[2015,7,15]]}},"container-title":["2015 International Conference on Machine Learning and Cybernetics (ICMLC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7329055\/7340593\/07340660.pdf?arnumber=7340660","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,2]],"date-time":"2019-09-02T01:18:53Z","timestamp":1567387133000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7340660\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,7]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/icmlc.2015.7340660","relation":{},"subject":[],"published":{"date-parts":[[2015,7]]}}}